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Netomi

Enterprise AI for autonomous customer service

Senior Data Scientist - Agentic Solutions

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • Strong experience in data science, machine learning, analytics, or applied artificial intelligence.
  • Hands-on experience with Python, SQL, data analysis, and model development workflows.
  • Familiarity with generative artificial intelligence, large language models, prompt engineering, retrieval-augmented generation, or agentic artificial intelligence frameworks.
  • Experience working on client-facing, delivery-focused, or product-oriented technical initiatives.
  • Ability to move from ambiguous problem statements to practical, implemented solutions.
  • Strong communication skills and comfort working with cross-functional teams.

Responsibilities

  • Design, prototype, and deliver artificial intelligence and agentic solutions for internal and client-facing use cases.
  • Apply data science, machine learning, and generative artificial intelligence techniques to solve complex business problems.
  • Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs.
  • Evaluate model performance, solution quality, and business impact using data-driven methods.
  • Support experimentation, proof-of-concepts, and production-ready implementations.
  • Communicate insights, recommendations, and technical approaches clearly to stakeholders.
  • Stay current with emerging trends in AI agents, large language models, automation, and applied data science.

About the Company

Netomi

Enterprise AI for autonomous customer service

Netomi provides an enterprise AI platform that automates and optimizes customer service for large-scale, regulated industries. Its agentic AI watches real-time customer journeys and proactively resolves issues across chat, email, messaging, and voice, often without human help. The platform combines proprietary natural language understanding with no-code workflow automation, enabling rapid deployment and seamless integration with legacy systems, and it offers Auto-pilot for autonomous resolution and Co-pilot to assist human agents. It handles very high request volumes, maintains strong security standards (ISO 27001, SOC2, GDPR), and partners with Adobe to embed AI into software layers, aiming to reduce support costs and improve customer satisfaction.

Company size
201-500
Company stage
Series C
Total funding
$147.5M
Headquarters
San Mateo, CA
Founded
2016

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